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Hye Jin Hong, Na-Hyun Lee, Hye Sung Kim, Kam W. Leong, Hae-Won Kim. Biomechanics in miniature: microfluidic-based in vitro modeling to decipher mechanobiological phenomena. Trends in Biotechnology. 2026;44(3):678-695. doi:10.1016/j.tibtech.2025.07.024
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Naijia Liu, Shahrzad Shiravi, Tianqi Jin, et al. Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology. Nature Biomedical Engineering. 2026:1-14. doi:10.1038/s41551-026-01620-y
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Weijian Hua, Akhilesh K. Gaharwar. 3D biofabricated in vitro models as new approach methodologies for animal alternatives. npj Biomedical Innovations. 2026;3(1):20. doi:10.1038/s44385-026-00073-x
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Franziska J. Schöb, Alexander Binder, Valentina Zamarian, et al. Deep learning for predicting stem cell efficiency for use in beta cell differentiation. Scientific Reports. 2026. doi:10.1038/s41598-026-42830-3
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Satoru Fujii, Scott T. Espenschied, Vibha Anand, et al. Quantifying the fidelity of in vitro human cell culture systems using a biomedical foundation model. Proceedings of the National Academy of Sciences. 2026;123(12):e2520482123. doi:10.1073/pnas.2520482123
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Navya Mishra, Rajaram Kaveti, Pei Liu, et al. Carbon nanotube microelectrode arrays enable scalable and accessible electrophysiological recordings of cerebral organoids. npj Biosensing. 2026;3(1):20. doi:10.1038/s44328-026-00088-9
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Barbara Pavan, Giada Botti, Alessandro Dalpiaz, Raffaello Sbordoni, Abdullah Talari, Valon Llabjani. A new microphysiological platform to study the permeation of neuroactive agents across intestinal and brain barriers. Biofabrication. 2026;18(2):025013. doi:10.1088/1758-5090/ae514c